Simulation of Precision Grinding Process for Predicting Surface Roughness

2004 ◽  
pp. 307-312
Author(s):  
T. A. Nguyen ◽  
D. L. Butler
Keyword(s):  
Surface Roughness ◽  
Grinding Process ◽  
Precision Grinding

An Intelligent Prediction of Surface Roughness on Precision Grinding

2017 ◽  
Vol 261 ◽  
pp. 221-225
Author(s):  
Ning Ding ◽  
Chang Long Zhao ◽  
Xi Chun Luo ◽  
Qing Hua Li ◽  
Yao Chen Shi
Keyword(s):  
Surface Roughness ◽  
Prediction Model ◽  
Grinding Wheel ◽  
Grinding Process ◽  
Precision Grinding ◽  
Wheel Wear ◽  
Surface Roughness Prediction ◽  
Fuzzy Neural ◽  
Roughness Prediction ◽  
Wear Condition

Precision grinding is generally used as the final finishing process, and it determines the surface quality of the machined component. It’s very difficult to achieve on-line measurement of the surface roughness. The purpose of this research was to study the surface roughness prediction and avoid the defect happening in the grinding process. A surface roughness prediction model was proposed in this paper, which presented the relationship between surface roughness and the wear condition of grinding wheel and grinding parameters. An AE sensor was used to collect the grinding signals during the grinding process to obtain the grinding wheel wear condition. Besides, a fuzzy neural network was used to obtain the prediction surface roughness. Grinding trials were performed on a high precision CNC cylindrical grinder (MGK1420) to evaluate the surface roughness prediction model. Experiment verified that the developed prediction system was feasible and had high prediction accuracy.

scholarly journals Study on the Effect of Grinding Pressure on Material Removal Behavior Performed on a Self-Designed Passive Grinding Simulator

2021 ◽  
Vol 11 (9) ◽  
pp. 4128
Author(s):  
Peng-Zhan Liu ◽  
Wen-Jun Zou ◽  
Jin Peng ◽  
Xu-Dong Song ◽  
Fu-Ren Xiao
Keyword(s):  
Residual Stress ◽  
Surface Roughness ◽  
Service Life ◽  
Material Removal ◽  
Removal Rate ◽  
Grinding Force ◽  
Grinding Wheel ◽  
Grinding Process ◽  
Grinding Temperature ◽  
Grinding Efficiency

Passive grinding is a new rail grinding strategy. In this work, the influence of grinding pressure on the removal behaviors of rail material in passive grinding was investigated by using a self-designed passive grinding simulator. Meanwhile, the surface morphology of the rail and grinding wheel were observed, and the grinding force and temperature were measured during the experiment. Results show that the increase of grinding pressure leads to the rise of rail removal rate, i.e., grinding efficiency, surface roughness, residual stress, grinding force and grinding temperature. Inversely, the enhancement of grinding pressure and grinding force will reduce the grinding ratio, which indicates that service life of grinding wheel decreases. The debris presents dissimilar morphology under different grinding pressure, which reflects the distinction in grinding process. Therefore, for rail passive grinding, the appropriate grinding pressure should be selected to balance the grinding quality and the use of grinding wheel.

Experiment on Surface Roughness and Acoustic Emission Signal in Infeed Period of Cylindrical Plunge Grinding

2013 ◽  
Vol 690-693 ◽  
pp. 2442-2445 ◽  
Author(s):  
Hao Lin Li ◽  
Hao Yang Cao ◽  
Chen Jiang
Keyword(s):  
Surface Roughness ◽  
Acoustic Emission ◽  
Acoustic Emission Signal ◽  
Feed Rate ◽  
Grinding Process ◽  
Experiment Research ◽  
Plunge Grinding ◽  
Emission Signal ◽  
Ae Signal ◽  
Ae Signals

This work presents an experiment research on Acoustic emission (AE) signal and the surface roughness of cylindrical plunge grinding with the different infeed time. The changed infeed time of grinding process is researched as an important parameter to compare AE signals and surface roughnesses with the different infeed time in the grinding process. The experiment results show the AE signal is increased by the increased feed rate. In the infeed period of the grinding process, the surface roughness is increased at first, and then is decreased.

Development of Electroplated CBN Wheel with Cemented Carbide Base for Precision Grinding of Compressor Cylinder Vane Slot

2007 ◽  
Vol 329 ◽  
pp. 495-500
Author(s):  
Hang Gao ◽  
W.G. Liu ◽  
Y.G. Zheng
Keyword(s):  
Surface Roughness ◽  
Ground Surface ◽  
Cemented Carbide ◽  
Grinding Wheel ◽  
Precision Grinding ◽  
Base Surface ◽  
Compressor Cylinder ◽  
Cbn Wheel ◽  
Micro Holes ◽  
Ground Surface Roughness

It is experimentally found that existing micro-holes or micro-concaves on the cemented carbide base surface of electroplated CBN wheel is one of important reasons to worsen the combining intensity of the electroplated abrasives layer with the grinding wheel base. It is well solved by sealing the holes or concaves with steam sealing method. Further more the electroplated CBN wheel with cemented carbide base for precision grinding of compressor cylinder vane slot is developed by optimizing the electroplating prescription and process. Productive grinding results show that the ground surface roughness, size precision and the wheel life have reached the advanced index of the same type of wheel imported.

In-Process Prediction of Surface Roughness in Grinding Process by Monitoring of Cutting Force Ratio

2014 ◽  
Vol 627 ◽  
pp. 29-34 ◽  
Author(s):  
Vichaya Thammasing ◽  
Somkiat Tangjitsitcharoen
Keyword(s):  
Surface Roughness ◽  
Cutting Force ◽  
Spindle Speed ◽  
Least Square ◽  
Depth Of Cut ◽  
Grinding Process ◽  
Average Surface Roughness ◽  
Average Surface ◽  
Developed Surface ◽  
Force Ratio

The purpose of this research is to develop the models to predict the average surface roughness and the surface roughness during the in-process grinding by monitoring the cutting force ratio. The proposed models are developed based on the experimentally obtained results by employing the exponential function with four factors, which are the spindle speed, the feed rate, the depth of cut, and the cutting force ratio. The experimentally obtained results showed that the dimensionless cutting force ratio is usable to predict the surface roughness during the grinding process, which can be calculated and obtained by taking the ratio of the corresponding time records of the cutting force Fy in the spindle speed direction to that of the cutting force Fz in the radial wheel direction. The multiple regression analysis is utilized to calculate the regression coefficients with the use of the least square method at 95% confident level. The experimentally obtained models have been verified by the new cutting tests. It is proved that the developed surface roughness models can be used to predict the in-process surface roughness with the high accuracy of 93.9% for the average surface roughness and 92.8% for the surface roughness.

scholarly journals The Influence of Tool Composite's Structure During Process of Diamond Grinding of Ceramic Materials

2014 ◽  
Vol 5 (4) ◽  
pp. 9-17
Author(s):  
Józef Gawlik ◽  
Magdalena Niemczewska-Wójcik ◽  
Joanna Krajewska ◽  
Serghej V. Sokhan ◽  
E.A. Paščenko ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Vibration Amplitude ◽  
Positive Impact ◽  
Subsurface Layer ◽  
Ceramic Materials ◽  
Grinding Process ◽  
Positive Effects ◽  
Study Results ◽  
Polycrystalline Ceramics ◽  
The Coefficient Of Friction

Abstract This paper presents the results of the tests performed during the grinding process of the ceramic materials: – polycrystalline ceramics (Zirconium ZrO2) and mono-crystalline ceramics (sapphire α-Al2O3) by the diamond tools. Studies have shown that the concentration (thickening) of the tool composite changes the tool's pore structure when using suitable wetted adamantine additives. Such modified composite has positive impact on tribological properties of the subsurface layer of the machined components. This is manifested by the reduction of the surface roughness and reduction of the vibration amplitude of the coefficient of friction. The possibilities of the positive effects when using wetted additives on the tool's composite during the pressing (briquetting) stage confirm the study results.

Application of Taguchi Technique to Surface-Grinding of Mold Steel

2016 ◽  
Vol 689 ◽  
pp. 7-11 ◽  
Author(s):  
Y. Şahin ◽  
Senai Yalcinkaya
Keyword(s):  
Surface Roughness ◽  
Feed Rate ◽  
Quality Characteristics ◽  
Cutting Fluid ◽  
Depth Of Cut ◽  
Grinding Process ◽  
Machining Parameters ◽  
Taguchi Technique ◽  
Fluid Environment ◽  
Selection Of

The selection of optimum machining parameters plays a significant role for the quality characteristics of products and its costs for grinding. This study describes the optimization of the grinding process for an optimal parametric combination to yield a surface roughness using the Taguchi method. An orthogonal array and analysis of variance are employed to investigate the effects of cutting environment (A), depth of cut (B) and feed rate (C) on the surface roughness characteristics of mold steels. Confirmation experiments were conducted to verify the optimal testing parameters. The experimental results indicated that the surface finish decreased with cutting-fluid and depth of cut, but decreased with increasing feed rate. It is revealed that the cutting fluid environment had highest physical as well as statistical influence on the surface roughness (71.38%), followed by depth of cut (25.54%), but the least effect was exhibited by feed rate (1.62%).

THE EFFECTS OF NOZZLE NUMBER AND OUTLET GEOMETRY ON GRINDING PROCESS WITH MINIMUM QUANTITY COOLING (MQC) BY NANOFLUID

2021 ◽  
pp. 2150058
Author(s):  
HOOMAN ABIYARI ◽  
MOHAMMAD MAHDI ABOOTORABI
Keyword(s):  
Heat Transfer ◽  
Surface Roughness ◽  
Transfer Functions ◽  
Cutting Temperature ◽  
Nozzle Geometry ◽  
Grinding Process ◽  
Nozzle Outlet ◽  
Outlet Cross Section ◽  
Minimum Quantity ◽  
High Heat Transfer

Machining with minimum quantity lubrication (MQL) or minimum quantity cooling (MQC) as a subset of green machining is a process in which small volume fluid of high lubrication and cooling properties alongside high pressure air is used in the material removal process. The heat generated in the grinding process has a great impact upon the workpiece quality. Serving lubrication and heat transfer functions, cutting fluids have an essential role in reducing the temperature and thus improving the process of grinding. In this research, nanofluid made of graphene nanoparticles in water-based fluid as a cutting fluid of high heat transfer is utilized to investigate the effects of nozzle number and nozzle geometry of the MQC system on the cutting temperature and surface roughness of the workpiece. The effect of geometry and number of nozzles on grinding with MQC has not been studied so far. The study findings show that the nozzle outlet cross-section of rectangular, compared to circular, decreases the surface roughness and temperature by 30% and 36%, respectively. Moreover, compared to the single nozzle, the use of three nozzles results in a decrease of 19% and 31.7% in the surface roughness and temperature. Under the same machining conditions, the MQC method by 0.15[Formula: see text]wt.% nanofluid of graphene in water using a rectangular nozzle outlet of 1.2[Formula: see text]mm width makes surface roughness and temperature reduced by 67.2% and 48.3% compared to the dry condition, whereas decreased by 13.4% and 8.8% compared to the wet method, respectively.

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